Evidence map›Paper›PMID 40029821›Full record

ArticleJournal of visualized experiments : JoVE2025

Time-Lapse Epifluorescence Microscopy Imaging of Pseudomonas aeruginosa and Staphylococcus aureus Heterogeneous Phenotypes.

Patricia J Hare, Jonathan I Batchelder, Travis J LaGree, Nisha Mahey, Angela D Power, Yi I Wu, Wendy W K Mok

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Patricia J HareDepartment of Molecular Biology & Biophysics, UConn Health; School of Dental Medicine, UConn Health.
Jonathan I BatchelderDepartment of Molecular Biology & Biophysics, UConn Health.
Travis J LaGree *Department of Molecular Biology & Biophysics, UConn Health.
Nisha Mahey *Department of Molecular Biology & Biophysics, UConn Health.
Angela D Power *Department of Molecular Biology & Biophysics, UConn Health.
Yi I WuRichard D. Berlin Center for Cell Analysis and Modeling, UConn Health.
Wendy W K MokDepartment of Molecular Biology & Biophysics, UConn Health; mok@uchc.edu.

Funding

Mapping polymicrobial interactions that modulate antibiotic persistenceDP2GM146456 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI MOK, WENDY W.K. · 2021 to 2021
$1.5M
Bacterial Reprogramming that Contributes to Antibiotic Persistence toward Topoisomerase InhibitorsR01AI167886 · NIAID · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Wendy W.K. Mok · 2024 to 2026
$1.4M
Mapping polymicrobial interactions that modulate antibiotic persistenceDP2AI183154 · NIAID · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI MOK, WENDY W.K. · 2024 to 2024
$984k
Molecular Mechanisms of Pseudomonas aeruginosa Antibiotic Persistence in Monocultures and Microbial CommunitiesF30DE032598 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Patricia Jin Hare · 2023 to 2026
$164k
Investigating metabolism and DNA damage repair in uropathogenic Escherichia coli fluoroquinolone persistersF31DK136259 · NIDDK · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LAGREE, TRAVIS · 2023 to 2025
$133k
NIAID NIH HHS DP2 AI183154NIAID NIH HHS R01 AI167886NIDCR NIH HHS F30 DE032598NIDDK NIH HHS F31 DK136259NIGMS NIH HHS DP2 GM146456
6 · The paper itself

Abstract

Antibiotic persistence is a phenomenon in which a small number of bacterial cells in a genetically susceptible population survive antibiotic treatment that kills the other genetically identical cells. Bacterial persisters can resume replication once antibiotic treatment ends and are commonly thought to underlie clinical treatment failure. Recent work harnessing the power of time-lapse fluorescence microscopy, in which bacteria are labeled with fluorescent transcriptional reporters, translational reporters, and/or dyes for a variety of cellular features, has advanced our understanding of Escherichia coli persisters beyond what could be learned from population-level antibiotic survival assays. Such single-cell approaches, rather than bulk population assays, are essential for delineating the mechanisms of persister formation, damage response, and survival. However, methods for studying persisters in other important pathogenic species at this level of detail remain limited. This study provides an adaptable approach for time-lapse imaging of Pseudomonas aeruginosa (a gram-negative rod) and Staphylococcus aureus (a gram-positive coccus) during antibiotic treatment and recovery. We discuss molecular genetic approaches to introduce fluorescent reporters into these bacteria. Using these reporters, as well as dyes, we can track the phenotypic changes, morphological features, and fates of individual cells in response to antibiotic treatment. Additionally, we are able to observe the phenotypes of individual persisters as they resuscitate following treatment. In all, this work serves as a resource for those interested in tracking the survival and gene expression of individual antibiotic-treated cells, including persisters, both during and after treatment, in clinically important pathogens.

Indexed as

Pseudomonas aeruginosaStaphylococcus aureusTime-Lapse ImagingAnti-Bacterial AgentsMicroscopy, FluorescencePhenotypeAnti-Bacterial Agents

Identifiers

PMID40029821
PMCPMC12320765

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.